code: def _initialize_weights(self):
      model_paramters = load_state_dict_from_url(
          model_urls["vgg16"], progress=True
      )
      for m in self.modules():
          if isinstance(m, nn.Conv2d):
              m.weight.data = model_paramters.popitem(last=False)[-1]
              m.bias.data = model_paramters.popitem(last=False)[-1]
  
imports: import torch
  import torch.nn
  from torchvision.models._utils import IntermediateLayerGetter
  from torch.hub import load_state_dict_from_url
  from torchvision.models.resnet import BasicBlock
label_desc: Use image node_id 4 for calling the VGG obj's underlying member method code with example usage: obj._initialize_weights() without return types